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1 week ago

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Location-PAN IndiaYears of experience-15+Key Responsibilities•Architect and develop scalable Generative AI applications leveraging LLMs (e.g., GPT, Claude, LLaMA) and multimodal models.•Design and implement agentic AI frameworks for autonomous task execution, reasoning, and orchestration.•Build AI pipelines for fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).•Develop microservices and APIs to integrate AI agents into enterprise workflows.•Implement MLOps/LLMOps for LLMs, including model deployment, monitoring, and versioning.•Optimize performance for high-concurrency, low-latency AI systems.•Ensure ethical AI practices, security, and compliance in all deployments.•Stay ahead of emerging trends in Generative AI, multi-agent systems, and AI governance.Required Skills & Experience•Strong programming skills in Python (FastAPI, LangChain) and Node.js.•Hands-on experience with LLM frameworks (LangChain, Haystack, Hugging Face Transformers).•Expertise in agentic AI platforms (AutoGen, CrewAI, OpenAI Agents).•Familiarity with vector databases (Pinecone, Weaviate, FAISS) for RAG.•Cloud deployment experience on AWS/GCP/Azure, including GPU orchestration.•Knowledge of containerization and orchestration (Docker, Kubernetes).•Understanding of AI safety, bias mitigation, and responsible AI principles.

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